Brian Hanst

ORCID: 0000-0002-0433-2542
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About
Contact & Profiles
Research Areas
  • Genomics and Phylogenetic Studies
  • Shoulder and Clavicle Injuries
  • Nerve injury and regeneration
  • Airway Management and Intubation Techniques
  • Machine Learning in Bioinformatics
  • Stroke Rehabilitation and Recovery
  • RNA and protein synthesis mechanisms
  • Trauma Management and Diagnosis
  • Algorithms and Data Compression
  • Bacteriophages and microbial interactions
  • Pain Management and Treatment
  • Nerve Injury and Rehabilitation
  • Spine and Intervertebral Disc Pathology
  • Botulinum Toxin and Related Neurological Disorders
  • Anesthesia and Pain Management
  • Planarian Biology and Electrostimulation
  • Musculoskeletal pain and rehabilitation

University of California, Irvine
2020-2023

University of California, San Diego
2019

Long-read next-generation amplicon sequencing shows promise for studying complete genes or genomes from complex and diverse populations. Current long-read technologies have challenging error profiles, hindering data processing incorporation into downstream analyses. Here we consider the problem of how to reconstruct, free error, true sequence variants their associated frequencies PacBio reads. Called 'amplicon denoising', this has been extensively studied short-read technologies, but current...

10.1093/nar/gkz657 article EN cc-by Nucleic Acids Research 2019-07-24

Achieving functional repair after peripheral nerve injury (PNI) remains problematic despite considerable advances in surgical technique. Therein, questions lie regarding the variable capacity of nerves to regenerate based on environmental influence. In-depth analyses multiple therapeutic strategies have ensued overcome these natural obstacles. Of candidate therapies, electrical stimulation has emerged a frontrunner. Extensive animal studies reported ability brief intraoperative (BES) enhance...

10.1177/1545968320962508 article EN Neurorehabilitation and neural repair 2020-10-10

Long-read next generation amplicon sequencing shows promise for studying complete genes or genomes from complex and diverse populations. Current long-read technologies have challenging error profiles, hindering data processing incorporation into downstream analyses. Here we consider the problem of how to reconstruct, free error, true sequence variants their associated frequencies. Called “amplicon denoising”, this has been extensively studied short-read technologies, but current solutions do...

10.1101/383794 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2018-08-03

Tafreshi, Ali R; Shahrestani, Shane; Lien, Brian V; Ransom, Seth C; Brown, Nolan J; Lehrich, Brandon M; Ryan Ballatori, Alexander; Ton, Andy; Chen, Xiao; Sahyouni, Ronald MS, PhD; Hanst, Author Information

10.1093/neuros/nyaa447_653 article EN Neurosurgery 2020-12-01
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